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Agent-Based Simulation: Several Scenarios

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Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

Part of the book series: Studies in Big Data ((SBD,volume 132))

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Abstract

Agent-based simulation is a powerful technique used for simulating real-life situations. This method involves simulating individual agents and their interactions with each other and the environment. Several platforms, such as GAMA and MASON, are available for developing agent-based simulations. In this chapter, we present a case study that showcases the versatility of agent-based simulation across different domains. Through various scenarios, we demonstrate that this approach can be successfully employed in diverse areas, such as traffic modeling, understanding the behavior of drifting objects, and teaching the operation of a sugar mill boiler. These simulations can be built from the scratch or using development platforms, providing a unique approach to modeling complex systems. By using agent-based simulations, researchers can test different scenarios and understand how agents interact within a system, leading to valuable insights for decision-making and problem-solving.

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Authors and Affiliations

  1. Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional, Mexico city, Mexico

    Mailyn Moreno-Espino

  2. Escuela Superior de Ingeniería Mecánica y Eléctrica Unidad Culhuacan, Instituto Politécnico Nacional, Mexico city, Mexico

    Ariadna Claudia Moreno-Román & Ariel López-González

  3. Facultad de Informática, Universidad Tecnológica de La Habana “José Antonio Echeverría”, La Habana, Cuba

    Robert Ruben Benitez-Bosque & Cynthia Porras

  4. Facultad de Economía y Administración, Universidad Católica del Norte, Antofagasta, Chile

    Yahima Hadfeg-Fernández

Authors
  1. Mailyn Moreno-Espino
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  2. Ariadna Claudia Moreno-Román
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  3. Ariel López-González
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  4. Robert Ruben Benitez-Bosque
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  6. Yahima Hadfeg-Fernández
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Correspondence to Mailyn Moreno-Espino .

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Editors and Affiliations

  1. División Multidisciplinaria de Ciudad Universitaria, Universidad Autónoma de Ciudad Juárez, Chihuahua, Mexico

    Gilberto Rivera

  2. Tecnológico Nacional de México/Instituto Tecnológico de Ciudad Madero, Ciudad Madero, Tamaulipas, Mexico

    Laura Cruz-Reyes

  3. School of Engineering, Universidad de Cádiz, Cadiz, Spain

    Bernabé Dorronsoro

  4. Universidad Tecnológica de La Habana “José Antonio Echeverría”, La Habana, Cuba

    Alejandro Rosete

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Moreno-Espino, M., Moreno-Román, A.C., López-González, A., Benitez-Bosque, R.R., Porras, C., Hadfeg-Fernández, Y. (2023). Agent-Based Simulation: Several Scenarios. In: Rivera, G., Cruz-Reyes, L., Dorronsoro, B., Rosete, A. (eds) Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications. Studies in Big Data, vol 132. Springer, Cham. https://doi.org/10.1007/978-3-031-38325-0_14

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